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020 _a9783031783654
_9978-3-031-78365-4
024 7 _a10.1007/978-3-031-78365-4
_2doi
050 4 _aQC793-793.5
072 7 _aPHP
_2bicssc
072 7 _aSCI051000
_2bisacsh
072 7 _aPHP
_2thema
100 1 _aAkpinar, Alp.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_989453
245 1 0 _aSearch for Invisible Decays of the Higgs Boson Produced via Vector Boson Fusion at the LHC with CMS Run 2 data
_h[electronic resource] /
_cby Alp Akpinar.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXI, 134 p. 90 illus., 81 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Theses, Recognizing Outstanding Ph.D. Research,
_x2190-5061
505 0 _aChapter 1: Theoretical Background -- Chapter 2: Experimental Apparatus -- Chapter 3: Data Analysis Strategy -- Chapter 4: Results -- Chapter 5: Outlook.
520 _aThis thesis reports the latest measurements on one of the leading dark matter searches conducted by the Compact Muon Solenoid (CMS) experiment at CERN, leading to some of the most stringent constraints on hypothesized interactions between the Higgs boson and dark matter. The thesis also includes further research about the future outlook of the experiment, including exploratory research on the adaptation of deep learning models in future dark matter analyses to improve analysis sensitivity, and the design of a new type of data processing hardware to be used in the next phase of the CMS experiment.
650 0 _aParticles (Nuclear physics).
_968036
650 0 _aMachine learning.
_955059
650 0 _aParticle accelerators.
_974387
650 0 _aMeasurement.
_967386
650 0 _aMeasuring instruments.
_967387
650 0 _aQuantum physics.
_966608
650 1 4 _aParticle Physics.
_968039
650 2 4 _aMachine Learning.
_955059
650 2 4 _aAccelerator Physics.
_974388
650 2 4 _aMeasurement Science and Instrumentation.
_967389
650 2 4 _aQuantum Measurement and Metrology.
_967415
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031783647
776 0 8 _iPrinted edition:
_z9783031783661
776 0 8 _iPrinted edition:
_z9783031783678
830 0 _aSpringer Theses, Recognizing Outstanding Ph.D. Research,
_x2190-5061
_966370
856 4 0 _uhttps://doi.org/10.1007/978-3-031-78365-4
912 _aZDB-2-PHA
912 _aZDB-2-SXP
999 _c65974
_d65974